A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation
Algorithms; Controllers; Fuzzy clustering; Fuzzy systems; Intelligent control; Intelligent systems; Learning algorithms; Least squares approximations; Membership functions; Mobile robots; Navigation; Robotics; Robots; Smart sensors; and ANFIS; Apriori algorithms; Fuzzy C mean; Gradient descent algor...
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2023
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my.uniten.dspace-224492023-05-29T14:01:02Z A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation Hossen J. Sayeed S. Iqbal A.K.M.P. 57200250366 16320035900 54416214600 Algorithms; Controllers; Fuzzy clustering; Fuzzy systems; Intelligent control; Intelligent systems; Learning algorithms; Least squares approximations; Membership functions; Mobile robots; Navigation; Robotics; Robots; Smart sensors; and ANFIS; Apriori algorithms; Fuzzy C mean; Gradient descent algorithms; Hybrid-fuzzy controllers; Mobile Robot Navigation; Subtractive clustering; Subtractive clustering algorithms; Clustering algorithms The Fuzzy hybridization technique for intelligent systems have become of research interests in a variety of research areas over past the decades. There are limitations faced by all popular fuzzy systems architectures when they are applied to applications with a large number of inputs (Multi-sensors) systems. In this paper, proposes a modified hybrid fuzzy controller for multi-sensors (Large number of inputs) real-time mobile robot navigation. A modified hybrid fuzzy controller is constructed by the automatic generation of membership functions (MFs) and formed a minimal numbers of rules using hybrid fuzzy clustering algorithm (Combination of Fuzzy C-means and Subtractive clustering algorithm) and the modified apriori algorithm, respectively. The generated hybrid fuzzy controller is then adjusted by the least square method and the gradient descent algorithm towards better performance with a minimal set of rules. The performance is observed in an application for real-time mobile robot navigation has been found to be very impressive and competitive. � 2015 The Authors. Final 2023-05-29T06:01:02Z 2023-05-29T06:01:02Z 2015 Conference Paper 10.1016/j.procs.2015.12.307 2-s2.0-84962809864 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962809864&doi=10.1016%2fj.procs.2015.12.307&partnerID=40&md5=8fc603b8adcc9e19a9bf6605e83f0f05 https://irepository.uniten.edu.my/handle/123456789/22449 76 449 454 All Open Access, Gold Elsevier B.V. Scopus |
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| description |
Algorithms; Controllers; Fuzzy clustering; Fuzzy systems; Intelligent control; Intelligent systems; Learning algorithms; Least squares approximations; Membership functions; Mobile robots; Navigation; Robotics; Robots; Smart sensors; and ANFIS; Apriori algorithms; Fuzzy C mean; Gradient descent algorithms; Hybrid-fuzzy controllers; Mobile Robot Navigation; Subtractive clustering; Subtractive clustering algorithms; Clustering algorithms |
| author2 |
57200250366 |
| author_facet |
57200250366 Hossen J. Sayeed S. Iqbal A.K.M.P. |
| format |
Conference Paper |
| author |
Hossen J. Sayeed S. Iqbal A.K.M.P. |
| spellingShingle |
Hossen J. Sayeed S. Iqbal A.K.M.P. A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation |
| author_sort |
Hossen J. |
| title |
A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation |
| title_short |
A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation |
| title_full |
A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation |
| title_fullStr |
A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation |
| title_full_unstemmed |
A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation |
| title_sort |
modified hybrid fuzzy controller for real-time mobile robot navigation |
| publisher |
Elsevier B.V. |
| publishDate |
2023 |
| _version_ |
1806424539345715200 |